AIMC Topic: Remote Sensing Technology

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Early Detection of Depression: Social Network Analysis and Random Forest Techniques.

Journal of medical Internet research Jun 10, 2019
BACKGROUND: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, which can potentially reduce the escalat...
Humans Artificial Intelligence Depression Remote Sensing Technology Machine Learning Social Networking Female Male
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Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

Scientific reports May 29, 2019
Currently, many critical care indices are not captured automatically at a granular level, rather are repetitively assessed by overburdened nurses. In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial i...
Humans Prospective Studies Critical Illness Adult Male Middle Aged Intensive Care Units Female Aged Critical Care Remote Sensing Technology Video Recording Accelerometry Feasibility Studies Delirium Deep Learning Pilot Projects Wearable Electronic Devices
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Testing the ability of unmanned aerial systems and machine learning to map weeds at subfield scales: a test with the weed Alopecurus myosuroides (Huds).

Pest management science May 21, 2019
BACKGROUND: It is important to map agricultural weed populations to improve management and maintain future food security. Advances in data collection and statistical methodology have created new opportunities to aid in the mapping of weed populations...
Weed Control Poaceae Machine Learning United Kingdom Plant Weeds Geographic Mapping Remote Sensing Technology
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Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques.

PloS one Apr 22, 2019
With the increasing competitiveness in the vine market, coupled with the increasing need for sustainable use of resources, strategies for improving farm management are essential. One such effective strategy is the implementation of precision agricult...
Photogrammetry Plant Diseases Hemiptera Color Vitis Farms Image Processing, Computer-Assisted Neural Networks, Computer Agriculture Plant Leaves Algorithms Robotics Animals Remote Sensing Technology
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Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery.

Sensors (Basel, Switzerland) Apr 6, 2019
Wild birds are monitored with the important objectives of identifying their habitats and estimating the size of their populations. Especially in the case of migratory bird, they are significantly recorded during specific periods of time to forecast a...
Birds Deep Learning Remote Sensing Technology Neural Networks, Computer Machine Learning Animals
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Automated detection of koalas using low-level aerial surveillance and machine learning.

Scientific reports Mar 1, 2019
Effective wildlife management relies on the accurate and precise detection of individual animals. These can be challenging data to collect for many cryptic species, particularly those that live in complex structural environments. This study introduce...
Automation Pattern Recognition, Automated Phascolarctidae Machine Learning Aircraft Weather Algorithms Probability Animals Image Processing, Computer-Assisted Surveys and Questionnaires Remote Sensing Technology
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Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model.

International journal of environmental research and public health Feb 4, 2019
Currently, more and more remotely sensed data are being accumulated, and the spatial analysis methods for remotely sensed data, especially big data, are desiderating innovation. A deep convolutional network (CNN) model is proposed in this paper for e...
Spatial Regression Models, Spatial Interaction Particulate Matter Neural Networks, Computer Water Pollution China Water Pollutants Remote Sensing Technology
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Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.

GigaScience Jan 1, 2019
Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here, we review the emerging aspects of computer vision for automated plant phenotyping. Recent a...
Neural Networks, Computer Machine Learning Phenotype Remote Sensing Technology Crops, Agricultural Plant Breeding
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Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China.

Journal of environmental sciences (China) Nov 15, 2018
Beijing-Tianjin-Hebei area is suffering from atmospheric pollution from a long time. The understanding of the air pollution mechanism is of great importance for officials to design strategies for the environmental governance. Mixing layer height (MLH...
Air Movements Environmental Monitoring Algorithms Altitude Remote Sensing Technology China Air Pollution
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Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network.

Sensors (Basel, Switzerland) Nov 13, 2018
Unmanned aerial vehicles (UAVs) require data-link system to link ground data terminals to the real-time controls of each UAV. Consequently, the ability to predict the health status of a UAV data-link system is vital for safe and efficient operations....
Remote Sensing Technology Aircraft Solar Energy Humans Health Status Robotics Bayes Theorem
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